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A Light Signalling Approach to Node Grouping for Massive MIMO IoT Networks

Massive MIMO is a promising technology to connect very large numbers of energy constrained nodes, as it offers both extensive spatial multiplexing and large array gain. A challenge resides in partitioning the many nodes in groups that can communicate simultaneously such that the mutual interference is minimized. We here propose node partitioning strategies that do not require full channel state in

Universal intracellular biomolecule delivery with precise dosage control

Intracellular delivery of mRNA, DNA, and other large macromolecules into cells plays an essential role in an array of biological research and clinical therapies. However, currentmethods yield a wide variation in the amount of material delivered, as well as limitations on the cell types and cargoes possible. Here, we demonstrate quantitatively controlled delivery into a range of primary cells and c

GeoBIM Benchmark 2019 : Intermediate results

An investigation into the implementation state of open standards in software is currently ongoing through the ISPRS/EuroSDR 'GeoBIM benchmark 2019' initiative, which kicked off earlier this year. The benchmark activity provides a way of assessing and comparing the functionality of different software packages in GIS and BIM in terms of their ability to handle standardised data (IFC and CityGML) and

A comparing study between AHP, AHP-OWA and Fuzzy AHP-OWA multi-criteria decision making methods for site selection of residential complexes in Tabriz-Iran

A decision is the result of comparing one or more alternatives with respect to one or more criteria that we consider relevant to the decision. Decision making can be considered as one of the most important challenges that analysts and experts encounter to solve complex problems. In recent decades, different methods and algorithms have been presented to support decision making. Multi-criteria analy

A Simple Method of Genomic DNA Extraction from Human Samples for PCR-RFLP Analysis

Isolation of DNA from blood and buccal swabs in adequate quantities is an integral part of forensic research and analysis. The present study was performed to determine the quality and the quantity of DNA extracted from four commonly available samples and to estimate the time duration of the ensuing PCR amplification. Here, we demonstrate that hair and urine samples can also become an alternate sou

Modeling the energy consumption of potable water reuse schemes

Potable reuse of municipal wastewater is often the lowest-energy option for increasing the availability of fresh water. However, limited data are available on the energy consumption of potable reuse facilities and schemes, and the many variables affecting energy consumption obscure the process of estimating energy requirements. By synthesizing available data and developing a simple model for the e

The Harmonized Parabolic Synthesis Methodology for Hardware Efficient Function Generation with Full Error Control

The Harmonized Parabolic Synthesis methodology is a further development of the Parabolic Synthesis methodology for approximation of unary functions such as trigonometric functions, logarithms and the square root with moderate accuracy for ASIC implementation. These functions are extensively used in computer graphics, communication systems and many other application areas. For these high-speed appl

Mild induced hypothermia and survival after out-of-hospital cardiac arrest in a Swedish urban area

Background: Mild induced hypothermia (MIH) was introduced for post cardiac arrest care in Sweden in 2003, based on two clinical trials. This retrospective study evaluated its association with 30-day survival after out-of-hospital cardiac arrest (OHCA) in a Swedish community from 2003 to 2015. Methods: Out of 3680 patients with OHCA, 1100 were hospitalized after return of spontaneous circulation an

Cross layer control for bounded shared state inconsistency in wireless IoT devices

The devices that constitute the Internet of Things are evolving to include more than just enabling sensing and actuation over a wireless interface. In a contemporary scenario, these devices perform tasks and contribute to an aggregate information flow, in a distributed manner. In the wake of this evolution, new distributed Internet of Things frameworks have emerged. These frameworks maintain a dis

Non-local rheology of dense granular flows

The rheology of dense granular flows is studied numerically in a shear cell controlled at constant pressure and shear stress, confined between two granular shear flows. We show that a liquid state can be achieved even far below the yield stress, whose flow can be described with the same rheology as above the yield stress. A non-local constitutive relation is derived from dimensional analysis throu

A cell topography-based mechanism for ligand discrimination by the T cell receptor

The T cell receptor (TCR) initiates the elimination of pathogens and tumors by T cells. To avoid damage to the host, the receptor must be capable of discriminating between wild-type and mutated self and nonself peptide ligands presented by host cells. Exactly how the TCR does this is unknown. In resting T cells, the TCR is largely unphosphorylated due to the dominance of phosphatases over the kina

Targeting the hydrophilic regions of recombinant proteins by MS via in-solution buffer-free trypsin digestion

A desalting step using reversed phase chromatography is a common practice prior to mass spectrometry analysis of proteolytic digests in spite of the detrimental exclusion of the hydrophilic peptides. The detection of such peptides is also important for the complete coverage of protein sequences and the analysis of posttranslational modifications as inquired by regulatory agencies for the commercia

Water surface temperature characteristics and thermal bar evolution during spring in Lake Ladoga

The present article is a study of the surface temperature distribution and its evolution during spring in Lake Ladoga, using NOAA-AVHRR Channel 4/Channel 5 (CH4/CH5) data, with special focus on a thermohydrodynamic phenomenon, called thermal bar. The split-window technique, where both constant and atmospheric-mass-dependent retrieval coefficients are tested, is used for calculating the atmospheric

Structural model for octagonal quasicrystals derived from octagonal symmetry elements arising in β-Mn crystallization of a simple monatomic liquid

While performing molecular-dynamics simulations of a simple monatomic liquid, we observed the crystallization of a material displaying octagonal symmetry in its simulated diffraction pattern. Inspection of the atomic arrangements in the crystallization product reveals large grains of the β-Mn structure aligned along a common fourfold axis, with 45° rotations between neighboring grains. These 45° r

Water Body Extraction From Very High-Resolution Remote Sensing Imagery Using Deep U-Net and a Superpixel-Based Conditional Random Field Model

Water body extraction (WBE) has attracted considerable attention in the field of remote sensing image analysis. Herein, we present an enhanced deep convolutional encoder-decoder (DCED) network (or Deep U-Net) specifically tailored to WBE from remote sensing images by applying superpixel segmentation and conditional random fields (CRFs). First, we preclassify the entire remote sensing image into th

Modeling the water budget in a deep caldera lake and its hydrologic assessment : Lake Ikeda, Japan

The hydrologic assessment of a lake water budget can be helpful in achieving proper water management and sustainable water use. A model to analyze a lake water budget was developed and verified for Lake Ikeda, Japan. Lake evaporation was estimated by numerical analyses of lake water temperature and the lake energy budget. Inflow from the lake catchment area and leakage from the lake bottom were es